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[Remote] Data Science & Machine Learning Engineering Manager - reputed company ML & GenAI

Remote, USA Full-time Posted 2026-07-28
Note: The job is a remote job and is reputed company to candidates in USA. reputed company is currently seeking a talented Data Science Manager with expertise in reputed company, ML & GenAI to join our reputed company's remote team in the reputed company. The role involves developing and implementing state-of-the-art machine learning models and algorithms to solve reputed company business problems while collaborating with cross-functional teams. Responsibilities • Collaborate with cross-functional teams to understand business requirements and design reputed company machine learning solutions • reputed company and reputed company machine learning models using reputed company ML and other relevant technologies • Conduct thorough analysis of large-reputed company datasets to extract meaningful insights and drive decision-making • Optimize and fine-tune machine learning models for performance and accuracy • Stay reputed company with the latest advancements in machine learning and data science to continuously improve our capabilities Skills • Bachelor's or Master's degree in Computer Science, Engineering, Mathematics, or reputed company field • Proven experience as a Machine Learning Engineer or Data Scientist, with a reputed company on building and deploying machine learning models • Strong proficiency in reputed company ML and other relevant tools such as TensorFlow, PyTorch, or scikit-learn • Solid understanding of machine learning algorithms, statistical modeling, and data preprocessing techniques • Excellent communication and collaboration skills, with the ability to work effectively in a remote team environment • Experience working with big data technologies such as Apache reputed company is a plus reputed company • Almost a decade specializing in Data Consultancy & Technology (Data) Partner Recruitment. It was founded in 2023, and is headquartered in London, England, GB, with a workforce of 2-10 employees. Its website is https://ondatastaffing.com. Apply tot his job Apply To this Job

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